Minh-Nghia Nguyen, Ngo Anh Vien. Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Volume 11051 of Lecture Notes in Computer Science, pages 157-172, Springer, 2018. [doi]
@inproceedings{NguyenV18-3,
title = {Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features},
author = {Minh-Nghia Nguyen and Ngo Anh Vien},
year = {2018},
doi = {10.1007/978-3-030-10925-7_10},
url = {https://doi.org/10.1007/978-3-030-10925-7_10},
researchr = {https://researchr.org/publication/NguyenV18-3},
cites = {0},
citedby = {0},
pages = {157-172},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I},
editor = {Michele Berlingerio and Francesco Bonchi and Thomas Gärtner and Neil Hurley and Georgiana Ifrim},
volume = {11051},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-10925-7},
}